aaron-marketing-skills is a collection of 120 AI-agent skills covering marketing work such as brand narrative, search optimization, social media, email, advertising, influencer campaigns, and launches. Marketers and agent users can install it as a plugin, use its portable skills, or run its described bot team. The catalogue entries are components of this marketing workflow.
Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add aaron-he-zhu/aaron-marketing-skills/plugin install aaron-marketingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/creator-registry)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/creator-registry"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/creator-registry/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/creator-registry"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/creator-registry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00084 | $0.01429 |
| Opus 5 | $0.00042 | $0.00714 |
| Sonnet 5 | $0.00017 | $0.00286 |
| Haiku 4.5 | $0.00008 | $0.00143 |
Grade A, and why
creator-registry scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creator Registry
The canonical creator-roster authority. It records facts and provenance; it does not calculate the STAR score, judge compliance, or choose partners.
Quick Start
What rate, rights, and exclusivity facts are current for creator-7f42?
Accept or reject the pending creator proposals for creator-7f42.
Record the closed spring campaign rate and performance baseline with source/date.
Skill Contract
Unit: one pseudonymous creator aggregate ID with verified handle links. Reads: memory/events/creators.ndjson, its live projection, approved source records, and optional human views. Writes: canonical creator events via scripts/registry-events.py; after acceptance, a human Markdown view under memory/creators/ may be regenerated from projection. Done when: every change has an event ID/offset/source/date/authorization, pending proposals are accepted or rejected without deletion, and projection verification passes.
Other skills may append only operation: propose. Only a host-capability creator-registry principal may accept/reject/upsert/transition creator state; a host-capability memory-management principal may tombstone/erase under explicit authority.
Handoff Summary
Use skill-contract.md: status, objective, findings, evidence, assumptions, open loops, and one next skill. Include event IDs and latest projection revision for changed records.
Data Sources
- Verified cross-platform handle links and dated audience exports.
- Closed outreach/negotiation outcomes and confirmed contact path.
- Signed terms, usage rights, exclusivity windows, and rates.
- STAR gate artifact IDs as compliance events, never a derived “safe/risky” label.
- Campaign outcome baselines with observation window and provenance.
Minimize personal data. Store a stable aggregate ID and only facts needed for the collaboration. Never put raw email/phone/address in event IDs or summaries.
Instructions
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 88 lines · 84 tokens per session scan A 8491f776d314
creator-registry is a skill published in the GitHub repository aaron-he-zhu/aaron-marketing-skills (2,771 stars, last pushed today), licensed Apache-2.0. It adds 84 tokens to every session and 1,429 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
geo-visibility-check
One-shot GEO audit: does your brand appear in Claude, ChatGPT, and Gemini answers for the buyer questions that matter? Runs a prompt panel through the engines with citation tracing and reports per-prompt verdicts, who wins instead, and which sources the answers come from.
geo-optimizer-skill
Run geo audit first. It scores the site 0–100 across 8 categories and generates a prioritized action list.
geo-loop
Run one bounded eGEOagents loop iteration over a workspace domain - read the charter and fresh collector data, do ONE unit of work, write substrate artifacts, append one Timeline entry and one LOG line. Use for loop mode, /geo:loop, scheduled GEO runs, or continuous monitoring.
content-scoring
Score content against the 10 GEO criteria with evidence and prioritized fixes. Use when users ask to score, rate, evaluate, or estimate ranking strength.
competitive-analysis
Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.
schema-generator
Generate JSON-LD schema markup for pages and content types with an implementation checklist. Use when users ask for schema, structured data, rich snippets, or markup.